The Minimum Weight Triangulation Problem with Few Inner Points

作者: Michael Hoffmann , Yoshio Okamoto

DOI: 10.1007/978-3-540-28639-4_18

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摘要: We propose to look at the computational complexity of 2-dimensional geometric optimization problems on a finite point set with respect number inner points (that is, in interior convex hull). As case study, we consider minimum weight triangulation problem. Finding for n plane is not known be NP-hard nor solvable polynomial time, but when are position, problem can solved O(n 3) time by dynamic programming. extend programming approach general and describe an exact algorithm which runs O(6 k 5log n) where total input points. If taken as parameter, this fixed-parameter algorithm. It also shows that if k=O(log n). In fact, works only polygons, simple polygons

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